Machine Learning Engineer

fiveandfly; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

fiveandfly is seeking a skilled ML Engineer with experience in Large Language Models, generative AI, and agentic architectures to join our R&D and Applied AI teams. This role focuses on building and advancing systems that power enterprise spend management and risk controls.

You will design, implement, and optimize models powering autonomous exception resolution, anomaly detection, and explainable insights, collaborating with researchers, data engineers, and product teams to drive impactful

Responsibilities

• Design, implement, and optimize models powering autonomous exception resolution and anomaly detection.
• Collaborate with AI/ML researchers, data engineers, and product teams to scale ML systems and contribute to applied research in agentic AI.

Job description

Role Overview

We are seeking a skilled and forward‑looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.

Ideal Candidate

The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands‑on experience experimenting with LLMs, small language models (SLMs), multi‑agent frameworks, and retrieval‑augmented generation (RAG).

Responsibilities

You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands‑on engineering role where you will not only build and scale ML systems but also actively contribute to cutting‑edge applied research in agentic AI.